weka – Making predictions – The error field is empty; if predictions were being performed on a labeled test set, each instance where the prediction failed to match the label would contain a "+". The probability that instance 1 actually belongs to class 0 is estimated at 0.757. Notes: Since Weka 3.5.4 you can also output the complete class distribution, not.

Prediction problems. Hello, my name is Ivan from Hong Kong Polytechnic. I'm a complete newbie for WEKA and all this, I'm sorry if some of my explanations are dumb. I'm using WEKA 3.8 GUI because I'm.

Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called.

Version 3.22 released on December 22, 2016. It conducts some minor fixes. LIBSVM tools provides many extensions of LIBSVM. Please check it if you need some functions.

By looking at the source code for the NaiveBayes class, there is a variable called m_ClassDistribution which keeps track of the class prediction. In the training phase, this variable is updated to reflect the apriori probability of each class. It is used in the test phase to calculate the posterior probability of a.

Definition. Predictive analytics is an area of statistics that deals with extracting information from data and using it to predict trends and behavior patterns.

How to Save Your Machine Learning Model and Make Predictions in. – Aug 3, 2016. After you have found a well performing machine learning model and tuned it, you must finalize your model so that you can make predictions on new data. In this post you will discover how to finalize your machine learning model, save it to file and load it later in order to make predictions on new data.